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Association between over-indebtedness and antidepressant use: A cross-sectional analysis

BACKGROUND: Burden of disease caused by depression and its association with socioeconomic status is well documented. However, research on over-indebtedness is scarce although millions of European citizens in all socioeconomic positions are over-indebted. Prior studies suggested that over-indebtednes...

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Autores principales: Warth, Jacqueline, Beckmann, Niklas, Puth, Marie-Therese, Tillmann, Judith, Porz, Johannes, Zier, Ulrike, Weckbecker, Klaus, Weltermann, Birgitta, Münster, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380887/
https://www.ncbi.nlm.nih.gov/pubmed/32706806
http://dx.doi.org/10.1371/journal.pone.0236393
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author Warth, Jacqueline
Beckmann, Niklas
Puth, Marie-Therese
Tillmann, Judith
Porz, Johannes
Zier, Ulrike
Weckbecker, Klaus
Weltermann, Birgitta
Münster, Eva
author_facet Warth, Jacqueline
Beckmann, Niklas
Puth, Marie-Therese
Tillmann, Judith
Porz, Johannes
Zier, Ulrike
Weckbecker, Klaus
Weltermann, Birgitta
Münster, Eva
author_sort Warth, Jacqueline
collection PubMed
description BACKGROUND: Burden of disease caused by depression and its association with socioeconomic status is well documented. However, research on over-indebtedness is scarce although millions of European citizens in all socioeconomic positions are over-indebted. Prior studies suggested that over-indebtedness is associated with poor physical and mental health. AIMS: Investigate the association between over-indebtedness and antidepressant use in Germany. METHOD: A cross-sectional survey among debt advice agencies’ clients was conducted in North Rhine-Westphalia, Germany, in 2017 (OID). Data were merged with the first wave of the German Health Interview and Examination Survey for Adults (DEGS1). Descriptive statistics and logistic regression analysis were used to examine antidepressant use in the previous 7 days (OID: n = 699; DEGS1: n = 7115). RESULTS: Prevalence of antidepressant use was higher in the over-indebted (12.3%) than the general population (5.0%). The over-indebted were significantly more likely to use antidepressants than the general population even after controlling for other socioeconomic, demographic and health factors (adjusted odds ratio 1.83; 95% confidence interval 1.35–2.48). CONCLUSIONS: Stakeholders in health care, debt counselling, research and social policy should consider the link between over-indebtedness and mental illness to advance the understanding of health inequalities and to help those who have mental health and debt problems.
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spelling pubmed-73808872020-08-04 Association between over-indebtedness and antidepressant use: A cross-sectional analysis Warth, Jacqueline Beckmann, Niklas Puth, Marie-Therese Tillmann, Judith Porz, Johannes Zier, Ulrike Weckbecker, Klaus Weltermann, Birgitta Münster, Eva PLoS One Research Article BACKGROUND: Burden of disease caused by depression and its association with socioeconomic status is well documented. However, research on over-indebtedness is scarce although millions of European citizens in all socioeconomic positions are over-indebted. Prior studies suggested that over-indebtedness is associated with poor physical and mental health. AIMS: Investigate the association between over-indebtedness and antidepressant use in Germany. METHOD: A cross-sectional survey among debt advice agencies’ clients was conducted in North Rhine-Westphalia, Germany, in 2017 (OID). Data were merged with the first wave of the German Health Interview and Examination Survey for Adults (DEGS1). Descriptive statistics and logistic regression analysis were used to examine antidepressant use in the previous 7 days (OID: n = 699; DEGS1: n = 7115). RESULTS: Prevalence of antidepressant use was higher in the over-indebted (12.3%) than the general population (5.0%). The over-indebted were significantly more likely to use antidepressants than the general population even after controlling for other socioeconomic, demographic and health factors (adjusted odds ratio 1.83; 95% confidence interval 1.35–2.48). CONCLUSIONS: Stakeholders in health care, debt counselling, research and social policy should consider the link between over-indebtedness and mental illness to advance the understanding of health inequalities and to help those who have mental health and debt problems. Public Library of Science 2020-07-24 /pmc/articles/PMC7380887/ /pubmed/32706806 http://dx.doi.org/10.1371/journal.pone.0236393 Text en © 2020 Warth et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Warth, Jacqueline
Beckmann, Niklas
Puth, Marie-Therese
Tillmann, Judith
Porz, Johannes
Zier, Ulrike
Weckbecker, Klaus
Weltermann, Birgitta
Münster, Eva
Association between over-indebtedness and antidepressant use: A cross-sectional analysis
title Association between over-indebtedness and antidepressant use: A cross-sectional analysis
title_full Association between over-indebtedness and antidepressant use: A cross-sectional analysis
title_fullStr Association between over-indebtedness and antidepressant use: A cross-sectional analysis
title_full_unstemmed Association between over-indebtedness and antidepressant use: A cross-sectional analysis
title_short Association between over-indebtedness and antidepressant use: A cross-sectional analysis
title_sort association between over-indebtedness and antidepressant use: a cross-sectional analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7380887/
https://www.ncbi.nlm.nih.gov/pubmed/32706806
http://dx.doi.org/10.1371/journal.pone.0236393
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